The traditional, long-term venture capital cycle may be accelerating. As both macro and technology cycles shorten, venture could start mirroring the more frequent 4-5 year boom-and-bust patterns seen in crypto. This shift would force founders, VCs, and LPs to become more adept at identifying where they are in a much shorter cycle.
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Similar to the dot-com era, the current AI investment cycle is expected to produce a high number of company failures alongside a few generational winners that create more value than ever before in venture capital history.
The venture capital industry was transformed by two parallel forces post-financial crisis. Crossover funds brought a hedge fund-style intensity and speed, while founder-led firms like a16z brought an entrepreneurial metabolism. This dual injection of urgency permanently changed the pace and nature of venture investing.
Despite seeing 100x revenue multiples reminiscent of 2021, VCs are not accelerating their fund deployment or rushing back to fundraise. This more measured pace indicates a potential lesson learned from the last bubble, where rapid deployment led to poor vintage performance and pressure from LPs.
Beyond a strong thesis, Limited Partners (LPs) critically evaluate how crypto fund managers understand and adapt to crypto's four-year bull/bear cycles. A manager's ability to strategically time the market—knowing when to be aggressive versus when to take profits—is a key filter for LPs allocating capital in the space.
The seed investing landscape isn't just expanding; it's actively replacing its previous generation. Legacy boutique seed firms are being squeezed by large multistage funds and new emerging managers, implying a VC's relevance has a 10-15 year cycle before a new cohort takes over.
David Cohen predicts that in a decade, the view of venture as a risky, "go big or go home" art form will be obsolete. As the asset class matures, it will inevitably adopt principles from public markets, like diversification and index-fund-like strategies. Venture will become more of a science, making it more stable and systematic.
Despite headlines about rapid-growth companies, the typical startup journey is slowing dramatically. The median time between Series A and B rounds is now close to 1,000 days (almost 3 years), creating a barbell market where a few companies raise quickly while the majority face a much longer path to their next milestone.
Analysis shows that the themes venture capitalists and media hype in any given year are significantly delayed. Breakout companies like OpenAI were founded years before their sector became a dominant trend, suggesting that investing in the current "hot" theme is a strategy for being late.
The predictable four-year crypto cycle isn't random. It's explained by two parallel forces: a macro trend tracking global M2 money supply fluctuations, and a micro, commodity-like pattern of supply shocks, speculative bubbles, and subsequent crashes.
AI startups' explosive growth ($1M to $100M ARR in 2 years) will make venture's power law even more extreme. LPs may need a new evaluation model, underwriting VCs across "bundles of three funds" where they expect two modest performers (e.g., 1.5x) and one massive outlier (10x) to drive overall returns.
